Lantao Liu
15 papers · 2011–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
๐ฃ Hot Topic Early Bird ๐ Conference Polyglot ยท Bronze ๐ Academic Marathon ยท Half ๐ Interdisciplinary Bridge ยท Gold ๐บ๏ธ Taxonomy Completionist (33)
๐
Keyword Champion
(2)
๐งญ
Keyword Pioneer
๐
Century Club ยท Bronze
๐
Renaissance Researcher
(6)
๐๏ธ
Keyword Collector
(72)
Top co-authors
Research topics
Artificial Intelligence
(11)
Machine Learning
(10)
Core AI
(10)
Reinforcement Learning
(6)
Optimization & Theory
(6)
Robotics
(5)
Capabilities
(5)
Mathematics & Optimization
(4)
Methods
(4)
Optimization
(4)
Applications
(3)
Learning Types
(3)
Deep Learning
(2)
Application Areas
(2)
Computer Science
(1)
Keywords
uncertainty quantification
(3)
gaussian process
(3)
task allocation
(3)
assignment problem
(2)
markov decision process
(2)
autonomous navigation
(2)
active learning
(2)
multi-robot system
(2)
robot navigation
(1)
continual learning
(1)
stochastic optimization
(1)
image fusion
(1)
flow matching
(1)
decentralized optimization
(1)
graph clustering
(1)
deep reinforcement learning
(1)
domain adaptation
(1)
robot learning
(1)
exploration-exploitation tradeoff
(1)
group theory
(1)
Papers
Action Flow Matching for Lifelong Learning
RSS 2025
Adaptive Diffusion Terrain Generator for Autonomous Uneven Terrain Navigation
CoRL 2024
POAM: Probabilistic Online Attentive Mapping for Efficient Robotic Information Gathering
RSS 2024
Show Your Face: Restoring Complete Facial Images From Partial Observations for VR Meeting
WACV 2024
Autonomous Navigation, Mapping and Exploration with Gaussian Processes
RSS 2023
AK: Attentive Kernel for Information Gathering
RSS 2022
CALI: Coarse-to-Fine ALIgnments Based Unsupervised Domain Adaptation of Traversability Prediction for Deployable Autonomous Navigation
RSS 2022
AutoQ: Automated Kernel-Wise Neural Network Quantization
ICLR 2020
Kernel Taylor-Based Value Function Approximation for Continuous-State Markov Decision Processes
RSS 2020
Pareto Monte Carlo Tree Search for Multi-Objective Informative Planning
RSS 2019
Reachable Space Characterization of Markov Decision Processes with Time Variability
RSS 2019
Fully Decentralized Task Swaps with Optimized Local Searching
RSS 2014
Optimal Market-based Multi-Robot Task Allocation via Strategic Pricing
RSS 2013
A Distributable and Computation-flexible Assignment Algorithm: From Local Task Swapping to Global Optimality
RSS 2012
Multi-Level Partitioning and Distribution of the Assignment Problem for Large-Scale Multi-Robot Task Allocation
RSS 2011